Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
NeurIPS 2023
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation
ACL 2023
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
CVPR 2023
Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction
EACL 2023
Bridging the Gap to Real-World Object-Centric Learning
ICLR 2023
BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow
WACV 2023
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
CVPR 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
NeurIPS 2023
Broken Neural Scaling Laws
ICLR 2023
Brooke-English at SemEval-2023 Task 5: Clickbait Spoiling
SemEval 2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
ACL 2023
Bugs in the Data: How ImageNet Misrepresents Biodiversity
AAAI 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
ICCV 2023
Building Multi-domain Dialog State Trackers from Single-domain Dialogs
EMNLP 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
NeurIPS 2023
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
ACL 2023
Buying Information for Stochastic Optimization
ICML 2023
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions
EMNLP 2023
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
NeurIPS 2023
Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts
Interspeech 2023
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
ACL 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
AISTATS 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities
NeurIPS 2023
C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding
Interspeech 2023